DESCRIPTION
Data is the new Oil !! Are you passionate about data Does the prospect of dealing with massive volumes of data excite you Do you want to build big-data solutions that process billions of records a day in a scalable fashion using AWS technologies Do you want to create the next-generation tools for intuitive data access If so, Amazon Finance Technology (FinTech) is for you!
Amazon’s Financial Technology team is looking for a passionate, results-oriented, inventive Data Engineers who can work on massively scalable and distributed systems. The candidate thrives in a fast-paced environment, understands how to deal with large sets of data and transactions and will help us deliver on a new generation of software, leveraging Amazon Web Services. The candidate is passionate about technology and wants to be involved with real business problems. Our platform serves Amazon’s finance, tax and accounting functions across the globe.
As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed real time systems. Using Python, Java, Object oriented design patterns, distributed databases and other innovative storage techniques, you will build and deliver software systems that support complex and rapidly evolving business requirements.
If you can think big and want to join a fast moving team breaking new grounds at Amazon, and you meet the qualifications below, we would like to speak with you!
Primary Responsibilities include
· Involve in building Data Lake, Datawarehouse using AWS Tools and Technologies
· Design and deliver data-integration solutions that are extensible, scalable and performance tolerant.
· Interact with Stakeholders to capture detailed requirements and define acceptance criteria for building end-to-end data integration solutions.
· Responsible for documenting HLD, LLD and SOPs for documenting recurring support activities.
· Responsible for design, development and maintenance of robust ETL jobs for delivering 100% quality data to Tax, Compliance and Audit teams in a timely manner.
· Ownership of Support, Monitoring & Maintenance activities of scheduled ETL jobs.
· Responsible for timely delivery of (daily, weekly, monthly) scheduled reports to the end-users within the agreed SLA.
· Has an eye for detail while performing unit testing and ensure to deliver bug-free code.
BASIC QUALIFICATIONS
· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Engineering).
· 2+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
· 2+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
PREFERRED QUALIFICATIONS
· 2+ years of experience in scripting languages like Python, Scala, Pyspark.
· Experience with Redshift, AWS services including RDS, Redshift, EMR.
· Knowledge of Distributed Systems as it pertains to data storage and computing
· Demonstrated hands-on experience in Data Modelling, ETL development, and Data warehousing.
· Anticipates and responds to changing client’s needs.
· Excellent Communication, Problem solving skills with the ability to effectively communicate with all levels in the Organization.
· Manages priorities effectively in a fast-paced environment.
· Self-motivated and able to work alone as well as part of a team.
· Willingness to get trained and learn new skills.
· Demonstrates strong initiative (is proactive) and motivation with the ability to learn quickly.
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.
Source link
